Engineering Commons^™

Internal Structural Design For Low-Cost Unmanned Fighter/Interceptor Aircraft, Andrew Zubyk

Discovery Day - Daytona Beach

Akriveia Aerospace is focused on the design of a high strength and efficient structure to accommodate the small size of Akriveia Aerospace’s Accipiter aircraft while ensuring the structure’s ability to sustain the required loadings. Emphasis is placed on wing spar, fuselage bulkhead, bulkhead-to-spar bracket, skin, and spar web sizing; as well as the fasteners used to join the structural components. The Accipiter was inspired based on historical and modern fighter/interceptor aircraft, such as the F-16 Fighting Falcon and F-35 Joint Strike Fighter. Preliminary sizing was conducted using conventional evaluation techniques; future aims involve validation using Finite Element Analysis. Due to …

Hybrid-Electric Regional Passenger Aircraft: Emphasizing Environmentally Impactful Technology, Annabelle Stube

Discovery Day - Daytona Beach

The aviation industry has significant negative impacts on the environment through greenhouse gas emissions and noise pollution. As small passenger aircraft tend to have more emissions per passenger mile than larger aircraft, this project aims to design a new hybrid-electric propulsion aircraft to be an innovative environmentally conscious option for short-range, limited-passenger flights. The design process focuses on constraint analyses, high stability, emission and noise reduction, uniqueness and marketability, and utilizing upcoming propulsion systems. Several new propulsion system options were assessed to prioritize viability and power and minimize environmental impacts. The hybrid-electric propulsion system and 12-passenger capacity were decided to …

Wing Structure Design The Ramp-200, Nicholas Hillburn

Discovery Day - Daytona Beach

This project focuses on the design of the wing structure to increase fatigue resistance and lessen the shear force across the skin of the wings, while maintaining the structure’s stability and soundness. The designed wing structure will be optimized to account for the proposed weight and endurance of the aircraft. The overall wing shape and size was defined using preliminary design methods and optimized for efficiency at Mach 0.9. The main structures were sized using calculations that were programmed into MATLAB and supported by hand calculations. Finite element analysis was used to verify sizing, and the structures were assessed using …

Wing Structure Design For Yf-27 Shrike Homeland Defense Interceptor, Maurya Jandyala

Discovery Day - Daytona Beach

This project focuses on designing the wing structure of an interceptor aircraft to withstand sustained supersonic flight and provide sufficient fuel storage for extended operations. The aircraft and structure were designed according to the AIAA Homeland Defense Interceptor request for proposal (RFP). Sizing of structural components was performed utilizing hand calculations and an idealized shear box approach focused on maximum aircraft limit loads. Based on these preliminary calculations, different wing structural components such as spars, ribs, stringers, and attachment points were designed using computer aided design (CAD) software. Finite element analysis was used to verify results and structural integrity of …

Manufacturing Of Origami-Inspired Mechanisms Via Sheet Lamination, Tyler R. Stevens

Theses and Dissertations

Origami-inspired mechanisms combine compact, lightweight, reconfig- urable devices, yet despite decades of growth in origami theory, industrial uptake remains limited. As a result, origami predominately appears as prototypes or in low-volume, bespoke applications. Manufacturing (which has received little development) remains the chief bottleneck: most origami fabrication routes are still under-explored, labor-intensive, and fundamentally unsuited to scale. This dissertation addresses that barrier by establishing a process-centric framework for origami manufacturing and demonstrates fabrication workflows capable of transitioning designs from prototypes to production. A survey of more than 180 publications on origami manufacturing approaches yields a manufacturing-oriented taxonomy that links each surrogate …

Scalable Biosynthesis And Recovery Of Poly-3-Hydroxybutyrate Produced From Cotton-Derived Glucose By Cupriavidus Necator, Ashley M. Clark, Lucia E. Gargano, Gabriella M. Fioravanti, Hannah M. Schapiro, Ron G. Kander

School of Design and Engineering Papers

To combat the growing issue of petroleum plastic waste, alternative bio-based polymers are being developed. Many of these biopolymers are made from bio-derived materials, or are biodegradable, but the most promising polymers fall in both categories. Polyhydroxyalkanoates (PHAs) are one such class of polymers, and poly-3-hydroxybutyrate (P3HB), the most popular PHA, has shown great potential. This study utilized two types of cotton-derived glucose, alongside commercial glucose, as a feedstock for the biosynthesis of P3HB by Cupriavidus necator (also known as Ralstonia eutropha). The fermentation took place in a 2-L bioreactor, showing potential for scale-up. A single-solvent extraction method was …

Insights From A Simple Mathematical Model Of Autism Spectrum Disorders, Charles F. Babbs

Weldon School of Biomedical Engineering Faculty Working Papers

This preliminary report explores insights about mechanisms of autism spectrum disorders (ASDs) gained from a mathematical model of interconnected clusters of excitatory neurons. This local, integrate-and-fire, spiking neural network is subjected to random noise from other populations of excitatory and inhibitory neurons outside the network. Its emergent behavior in response to different ratios of inhibitory to excitatory noise mimics several aspects of ASDs. The spiking neural network functions according to rules of classical neurophysiology, involving resting membrane potential, threshold potential, excitatory or inhibitory post-synaptic potentials, action potential, and refractory period. Key parameters include the incremental change in membrane potential, p …

Comparative Assessment Of Battery And Hydrogen Energy Storage In A Grid-Connected Heat-Electricity Integrated Microgrid, Naglaa Elsherbiny, Mohamed Elgamal, Islam Ismael, Akram Elmitwally

Mansoura Engineering Journal

Given the significant challenges of conventional power systems, including high emissions and operational costs, transitioning to microgrids (MGs) is increasingly critical. This paper presents a comprehensive evaluation of three energy management strategies for a grid-connected, heat-electricity integrated MG: (i) a base case without storage, (ii) a battery-based energy storage system (B-BESS), and (iii) a hydrogenbased energy storage system (H-BESS) comprising an electrolyzer (ELC), hydrogen tank (HT), and fuel cell (FC). This study optimizes operational profit and emissions reduction by integrating renewable energy and heat recovery mechanisms. Simulation results show that, compared to the base case, both B-BESS and H-BESS significantly …

Synergistic Effects Of Orifice Geometry And Inclination Angle On The Damping Performance Of Tuned Liquid Column Vibration Absorbers, Mohamed M. Abou Elenin, Younes K. Younes, Mohamed F. Younes

Mansoura Engineering Journal

This study experimentally investigates the dynamic damping performance of passive tuned liquid column vibration absorbers (TLCVAs), focusing on the influence of vertical column inclination angle and orifice disc configuration. Free vibration tests were conducted on a primary system equipped with a TLCVA using a custom-designed test rig. The experimental framework systematically varied inclination angles from to and tested both single-hole and multi-perforated orifice discs, each designed with an equivalent total flow area. A MATLAB-based signal processing framework was employed to analyze time-domain responses, and the logarithmic decrement method was applied to determine the damping ratio of the primary system. The …

Tableau Part Ii - October 2025, Rubab Shahzad

Day Family Research Lab Workshop Series

Part Two of Introduction to Tableau. Learn to make cool visualizations using Tableau. A hands-on opportunity where we will go over calculated fields, hierarchies, unions, dashboards, and stories.

Prior experience with Tableau is recommended

Climate Change Projections Through Optimized Machine Learning And Deep Learning Models: A Comprehensive Analysis, Hala H. Youssef, Salma S. Mohammed, Hanan M. Amer, Abeer T. Khalil

Mansoura Engineering Journal

One major worldwide issue that has far-reaching effects on environmental stability and the avoidance of natural disasters is climate change. Developing efficient mitigating strategies depends on precise climate change forecasts. To predict important climate change indicators, including temperature fluctuations, greenhouse gas (CO2, N2O, CH4, and SF6) emissions, population dynamics, sea level changes, Arctic Sea ice extent, and Antarctica mass, this study evaluated the predictive capabilities of several Machine Learning (ML) and Deep Learning (DL) techniques. The set of machine learning algorithms includes Multiple Linear Regression (MLR), K-Nearest Neighbors (KNN), Support Vector Machines (SVMs), Artificial Neural Networks (ANN), Random Forest (RF), …

An Integrated Pcb-Based Heating And Auto-Ranging Platform For Volatile Organic Compound (Voc) Detection Using Carbon Nanotube Based Sensors, Thomas Kalach

USF Tampa Graduate Theses and Dissertations

This thesis presents the development, characterization, and integration of a novel low-cost, high-dynamic-range sensor platform for the detection of volatile organic compounds (VOCs), leveraging the unique electrical properties of carbon nanotube (CNT) thin films. The platform introduces a fully integrated auto-ranging analog front-end circuit capable of real-time resistance measurement spanning over eight orders of magnitude ranging from tens of ohms to hundreds of megaohms, without compromising signal resolution or precision. This was achieved through a digitally controlled, multi-path feedback architecture and controllable current source.

To further enhance sensor performance, the system incorporates a copper trace heater beneath the sensor array, …

10.13.2025 Ored Connect, Liz Williamson

ORED Newsletter

• ORED Small Grants Program RFP
• Mississippi Impact Grants RFP
• Contest to Promote Lab Practices
• Field Fest
• AAAS Membership for Faculty, Staff, and Students 

Assessing Riparian Evapotranspiration Dynamics In A Water Conflict Region In Nebraska, Usa, Ivo Z. Gonçalves, Burdette Barker, Christopher M. U. Neale, Derrel L. Martin, Sammy Z. Akasheh

Civil and Environmental Engineering Faculty Publications

The escalating pressure on water resources in agricultural regions has become a catalyst for water conflicts. The adoption of innovative approaches to estimate actual evapotranspiration (ETa) offers potential solutions to mitigate conflicts related to water usage. This research presents the application of a remote sensing-based methodology for estimating actual evapotranspiration (ETa) based on a two-source energy balance model (TSEB) for riparian vegetation in Nebraska, US using the Spatial EvapoTranspiration Modeling Interface (SETMI). Estimated results through SETMI and field data using the eddy covariance system (EC) considering the period 2008–2013 were used to validate the energy balance components and ETa. Modeled …

Calving As A Source Of Acute And Persistent Kinetic Energy To Enhance Submarine Melting Of Tidewater Glaciers, M. F. Shaya, J. D. Nash, E. C. Pettit, J. M. Amundson, R. H. Jackson, D. A. Sutherland, Dylan Winters

Electrical and Computer Engineering Faculty Publications and Presentations

Calving icebergs at tidewater glaciers release large amounts of potential energy. This energy—in principle—could be a source for submarine melting, which scales with near‐terminus water temperature and velocity. Because near‐terminus currents are challenging to observe or predict, submarine melt remains a key uncertainty in projecting tidewater glacier retreat and sea level rise. Here, we study one submarine calving event at Xeitl Sít’ (LeConte Glacier), Alaska, to explore the effect of calving on ice melt, using a suite of autonomously deployed instruments beneath, around, and downstream of the calving iceberg. Our measurements captured flows exceeding 5 m/s and demonstrate how potential …

Empirical Methods For Support System Design In Deep Serpentinite Excavations: A Critical Evaluation, Anas Driouch, Redouane Oubah, Abdelaziz Lahmili, Latifa Ouadif

Journal of Sustainable Mining

Underground mining excavations in fragile serpentinite rock masses represent a significant challenge today. The complicated features of these rock formations, especially at great depths, make it difficult to classify them using commonly employed methods. This paper focuses on the application of empirical methods for the classification of serpentinite rock masses and the design of support systems in underground mining excavations. Specifically, it concerns an access tunnel excavated entirely in serpentinite at a depth of 460 m. Geomechanical classification systems indicate that the Tunnelling Quality Index (Q-system) and Rock Mass Rating (RMR) evaluate serpentinites as rock masses of exceptionally poor to …

Improved Streamflow Forecasting Through Swe-Augmented Spatio-Temporal Graph Neural Networks, Akhila Akkala, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi, Pouya Hosseinzadeh, Ayman Nassar

Computer Science Student Research

Streamflow forecasting in snowmelt-dominated basins is essential for water resource planning, flood mitigation, and ecological sustainability. This study presents a comparative evaluation of statistical, machine learning (Random Forest), and deep learning models (Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and Spatio-Temporal Graph Neural Network (STGNN)) using 30 years of data from 20 monitoring stations across the Upper Colorado River Basin (UCRB). We assess the impact of integrating meteorological variables—particularly, the Snow Water Equivalent (SWE)—and spatial dependencies on predictive performance. Among all models, the Spatio-Temporal Graph Neural Network (STGNN) achieved the highest accuracy, with a Nash–Sutcliffe Efficiency (NSE) of 0.84 …

Chplx: The Hpx Solution For Bridging Chapel And C++, Shreyas Swanand Atre

LSU Master's Theses

Historically, domain scientists faced steep learning curves due to low-level programming models and fragmented tooling. Between 2003 and 2008, Cray, now part of HPE, introduced the Chapel language as part of DARPA’s High Productivity Computing Systems (HPCS) program. Today, Chapel remains under active development and is used across research and production projects. In parallel, the STE||AR Group has advanced C++-based parallel programming through HPX, a standards-conforming runtime that provides lightweight tasking, futures, and distributed execution while abstracting much of the algorithmic “heavy lifting.” Yet for many domain scientists, C++ presents a steeper learning curve than Chapel. To close this complexity …

Evaluation Of Different Design Standards For The Design Of Axial Loaded Concrete Filled Steel Tube Columns Under Fire, Ebtsam Youssef Ibrahim Abd El Ghaffar, Nabil Said Mahmoud, Fikry A. Salem, Mohammed. M. Ghannam

Mansoura Engineering Journal

This paper compares various codes and standards for the behavior of “Concrete-Filled Steel Tubes” (CFST) columns under fire and axial load. The codes evaluated include European standards (EC4.2 and EC3.2), the American standard (AISC 360), and the Australian standard (AS/NZS 2327). The fire resistance of Concrete-Filled Steel Tubular (CFST) and steel hollow (SH) columns was assessed using a computer program developed with Visual Studio .NET. The program's results were compared with previous experimental data to evaluate the accuracy of various codes and standards in predicting the behavior of these columns under fire conditions. This study highlights the importance of selecting …

Performance Analysis Of Power System Dynamic Stability Of The Nigerian 330kv Transmission Network, Charles Evuarherhe Ikeyin, Benjamin Olabisi Akinloye

Al-Bahir

Nigeria's power sector faces persistent challenges, including dynamic instability, poor voltage regulation, and frequent grid collapses, primarily driven by reactive power deficits and transmission distances exceeding 200 km in northern regions. To bridge critical research gaps, this study employs a rigorous, multi-method approach through comprehensive EMTP-RV (Electromagnetic Transients Program) analysis of Nigeria’s 330kV 52-bus grid, PV curve-based vulnerability indexing to identify cascade-critical buses, and a novel Cost-benefit Pareto framework for optimal capacitor placement. Methodology was validated against IEEE (Institute of Electrical and Electronics Engineers) 14-bus benchmarks. Validated against IEEE 14-bus benchmarks, simulations revealed severe voltage instability in northern …

Evaluation Of An In Situ Forming Composite Hydrogel Based On Gelatin–Sodium Alginate– Polyethylene Oxide For Biomedical Applications: Effect Of Incorporated Sophora Japonica On Hydrogel Performance, Samar A. Salim

Nanotechnology Research Centre

Hydrogels are ideal candidates for biomedical applications such as wound healing, tissue engineering, and bone regeneration due to their porosity and similarity to the extracellular matrix of humans. A gelatin/ sodium alginate (SA) hydrogel with the inclusion of polyethylene oxide (PEO) was utilized to achieve enhanced mechanical strength. Hydrogels were prepared at different ratios of polymer solutions to select the hydrogel that exhibited an optimal gelation time. Sophora japonica, a plant leaf extract (SJLE) rich in flavonoids and isoflavonoids, was added to the hydrogel to enhance tissue repair. The developed hydrogels were extensively characterized for their morphology, porosity, and swelling …

Sensing The Pulse Of A Data Stream In Real Time, Vishnu S. Pendyala

Open Educational Resources

In an era where data never sleeps, streaming algorithms offer a powerful toolkit for extracting meaningful insights from high-velocity data flows. This talk explores some foundational techniques that enable efficient, real-time analytics with minimal memory requirements. The algorithms covered include a clever bit-based strategy for approximating the count of 1s in a sliding window, ideal for binary streams where space efficiency is paramount. Another algorithm helps estimate statistical moments (mean, variance, skewness) using compact sketches, enabling a deeper understanding of stream distributions without storing the entire dataset. One other algorithm identifies trending items with exponential decay, giving more weight to …

Microstructural Evolution And Magnetic Properties Of Spark Plasma Sintered Smco5 And Smco5-Fe Composites, Farhan Ishrak, Michael Lastovich, Fu-Yun Tsai, Charles Perkins Iv, Henri Baldino, Alex Helmer, Sean Rego, Sanoj Karki, Daniel Hedlund, Rajeev Gupta, Tushar Borkar

Mechanical Engineering Faculty Publications

Optimizing SmCo(5-)based nanocomposites for high-temperature magnetic applications requires balancing coercivity and saturation magnetization, properties often compromised by grain coarsening, oxidation, and secondary phase formation during conventional sintering. This study investigates the microstructural evolution and magnetic properties of SmCo5 and SmCo5-Fe composites processed via high-energy ball milling followed by spark plasma sintering at 900 degrees C and 1000 degrees C, a route designed to retain the nanostructure while enabling rapid densification compared to conventional sintering. A suite of characterization techniques, including electron microscopy, X-ray diffraction, magnetometry, Magneto-optical Kerr effect, and magnetic force microscopy, reveals the extent of consolidation, phase composition, and …

Incorporating The Influence Of Vehicle Mix On Crash Frequency And Severity, Shahrior Pervaz, Manmohan Joshi, Tanmoy Bhowmik, Dewan Ashraful Parvez, Kai Wang, John N. Ivan, Naveen Eluru

Civil and Environmental Engineering Faculty Publications and Presentations

The current approaches for crash frequency and severity prediction in the Highway Safety Manual (HSM) do not employ vehicle mix information. In this research effort, we build advanced alternatives to HSM methods while incorporating vehicle mix information. Two model systems—(a) multivariate Poisson-lognormal model and (b) negative binomial-ordered probit fractional split model—are estimated by incorporating vehicle mix variables. The developed model systems can also capture the influence of observed and unobserved heterogeneity of different independent variables including vehicle mix variables. We estimate the models for three facility types including Urban Arterial 4-Lane Divided segments, Rural 3-Leg STOP-Controlled and Rural 4-Leg STOP-Controlled …

Day-Night Shifts In Water-Soluble Ions Of Size-Resolved Aerosols Before And After The Covid-19 Lockdown In A Coastal Megacity: Metro Manila, Philippines, Grace Betito, Paola Angela Bañaga, Rachel A. Braun, Maria Obiminda Cambaliza, Melliza Templonuevo Cruz, Alexander B. Macdonald, James Bernard Simpas, Connor Stahl, Armin Sooroshian

SOSE Affiliate: Manila Observatory

The COVID-19 pandemic-driven lockdowns offer a unique opportunity to examine how reductions in anthropogenic emissions impacted atmospheric aerosol composition in urban environments. This study investigates the day-night variability of size-resolved water-soluble ions in ambient particulate matter (PM) collected in Metro Manila before (November 2019–February 2020) and after (November 2020–February 2021) lockdown implementation. Using tandem Micro-Orifice Uniform Deposit Impactors (MOUDIs), aerosol samples were collected during daytime (06:00–18:00) and nighttime (18:00–06:00) periods and analyzed for key ionic species (sulfate, ammonium, nitrate, oxalate, sodium, chloride, calcium, and magnesium) via ion chromatography. Submicrometer water-soluble mass declined post-lockdown, particularly during daytime, reflecting suppressed secondary formation …

Using Serial Open Circuit Potentiometry To Study Ce And Gd Deposition In Molten Licl-Kcl Eutectic, Ranon G. Fuller, Guy L. Fredrickson, Devin Rappleye

Faculty Publications

The ability to electrochemically separate individual species in a pyrochemical reprocessing salt relies on first being able to detect a separation in their reaction potentials. This requires the ability to measure reaction potentials with extreme precision. In this work, we introduce a novel technique called serial open circuit potentiometry (SOCP) and demonstrate its effectiveness at precisely measuring metal deposition reaction potentials. SOCP has several advantages over traditional open circuit potentiometry, including its abilities to quantify the error of measured equilibrium potentials by averaging many individual OCP measurements, determine overpotential deposition nucleation potentials to instrument precision, and simultaneously determine the nucleation …

Resilience Oriented Distribution System Service Restoration Considering Overhead Power Lines Affected By Hurricanes, Kehkashan Fatima, Hussain Shareef, Flavio Costa

Michigan Tech Publications

In recent years, there has been an increase in the frequency of severe weather events (like hurricanes). These events are responsible for most power outages in power distribution systems (PDSs). Particularly susceptible to storms are overhead PDSs. In this study, the dynamic Bayesian network (DBN)-based failure model was developed for different hurricane scenarios to predict the line failure of overhead lines. Based on the outcomes of the DBN model, a service restoration model was formulated to maximize restored loads and minimize power losses using Particle Swarm Optimization (PSO)-based distributed generation (DG) integration and system reconfiguration. Three different case studies based …

Stainless-Steel Piano Key Weir, Y. Fournié, H. Tralli, J. Alendé, S. Erpicum

4th International Workshop on Labyrinth and Piano Key Weirs

The spillway of the Oule dam (Pyrénées, France) was successfully modified and uprated in 2018. Its discharge capacity has been increased in accordance with the updated hydrological analysis and French regulations. In order to achieve a significant increase of the total discharge capacity, the dam operator (Société Hydroélectrique du Midi - ENGIE) has re-designed the whole spillway. A 1 m high type-A piano key weir solution was selected and implemented to replace the existing ogee crest. This solution is unique since it is made of stainless steel, precast, transported by helicopter on site and assembled by bolting. This paper focuses …

High Altitude Labyrinth Design And Construction, Nick Miller, Margaret Provencher, Eric Holmstead

4th International Workshop on Labyrinth and Piano Key Weirs

GEI worked with a Colorado district to design and construct a labyrinth spillway at a high-altitude reservoir west of Denver. The labyrinth spillway increased the reservoir normal water surface elevation 10 feet, increasing reservoir storage capacity by 120 acre-feet. This additional storage was achieved with the labyrinth with minimal modification to the existing embankment dam. The site presented challenges including significant ice loading on the weir structure, complex rock conditions requiring seepage control measures, and unique construction techniques.

A labyrinth weir configuration was chosen to increase discharge capacity with minimal adjustment to the existing spillway footprint and to pass the …

Nachtigal Dam: A 4917 M Long Labyrinth Spillway, F. Laugier, Denis Magnan, B. Blancher, Arnaud Chapius, Thibaut Guillemot, Sebastien Erpicum

4th International Workshop on Labyrinth and Piano Key Weirs

The Nachtigal Dam, part of the Nachtigal Amont Hydropower Project in Cameroon, features a 4917-meter-long labyrinth spillway, designed to safely manage floodwaters. This spillway was optimized for hydraulic safety, cost efficiency, and environmental considerations. Physical scale modeling (at a relatively rare 1:12.5 scale) and detailed design adjustments ensured robust performance under various flow conditions. Despite construction challenges for such a large-scale nonlinear structure, the project achieved reliable spillway operations, demonstrating the suitability of labyrinth weirs for large-scale hydraulic infrastructure.